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April 1, 2026IET conference proceedings.

Research on network attack path modeling and risk quantitative assessment algorithm for electric power UAV inspection system

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Authors

LZLei ZhangQSQuanjiang Shen

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Overview

Research proposes a new algorithm to assess risks in electric power UAV systems, highlighting enhanced security measures.

Key Points

  • This research aims to develop a method for modeling attack paths and quantifying risks in UAV inspection systems.
  • Constructed a 3D attack path model using GIS data and system vulnerabilities.
  • Utilized conditional probability chain rules to quantify path success probabilities.
  • Developed a dynamic risk quantification algorithm with AHP-fuzzy evaluation and real-time data.
  • Conducted experiments in a simulation environment based on transmission line inspection scenarios.
  • Successfully generated accurate multi-layer attack paths.
  • Identified critical threat chains effectively.
  • Dynamic assessment algorithm outperformed static methods in false positive and negative rates.
  • Showed superior adaptability to environmental changes and early warning capabilities.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69ccb6ce16edfba7beb888fehttps://doi.org/10.1049/icp.2026.0391
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